代码搜索：minimum
找到约 5,594 项符合「minimum」的源代码
代码结果 5,594
www.eeworm.com/read/327870/13058761
input_nsga_maxspec
# Input file for the GA Toolbox
# Author: Kumara Sastry
# Date: April, 2006
#
#
# GA type: SGA or NSGA
#
NSGA
#
# Number of decision variables
#
3
#
# For each decision variable, en
www.eeworm.com/read/327870/13058784
input_nsga_minspec
# Input file for the GA Toolbox
# Author: Kumara Sastry
# Date: April, 2006
#
#
# GA type: SGA or NSGA
#
NSGA
#
# Number of decision variables
#
3
#
# For each decision variable, en
www.eeworm.com/read/327870/13058825
input_sga_minspec
# Input file for the GA Toolbox
# Author: Kumara Sastry
# Date: April, 2006
#
#
# GA type: SGA or NSGA
#
SGA
#
# Number of decision variables
#
2
#
# For each decision variable, ent
www.eeworm.com/read/327870/13058834
input_sga_maxspec
# Input file for the GA Toolbox
# Author: Kumara Sastry
# Date: April, 2006
#
#
# GA type: SGA or NSGA
#
SGA
#
# Number of decision variables
#
2
#
# For each decision variable, ent
www.eeworm.com/read/140665/13068543
cpp xlinmin.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine linmin
DP func(Vec_I_DP &x)
{
int i;
DP f=0.0;
www.eeworm.com/read/140062/13111964
cpp d11r6.cpp
#include "iostream.h"
#include "math.h"
double func2(double x[], int n)
{
return 0.5 - bessj0(pow((x[1] - 1.0) , 2) +
pow((x[2] - 2.0), 2) + pow((x[3] - 3.0) , 2));
}
double func(d
www.eeworm.com/read/326135/13163435
m mat2huff.m
function y = mat2huff(x)
%MAT2HUFF Huffman encodes a matrix.
% Y = MAT2HUFF(X) Huffman encodes matrix X using symbol
% probabilities in unit-width histogram bins between X's minimum
% and ma
www.eeworm.com/read/241049/13175392
cpp d11r6.cpp
#include "iostream.h"
#include "math.h"
double func2(double x[], int n)
{
return 0.5 - bessj0(pow((x[1] - 1.0) , 2) +
pow((x[2] - 2.0), 2) + pow((x[3] - 3.0) , 2));
}
double func(d
www.eeworm.com/read/324120/13284171
input_nsga_maxspec
# Input file for the GA Toolbox
# Author: Kumara Sastry
# Date: April, 2006
#
#
# GA type: SGA or NSGA
#
NSGA
#
# Number of decision variables
#
3
#
# For each decision variable, en